BigPica

BigPica — CS2 Stats

EC76561199060011541[U:1:1099745813]Steam profile ↗✓ No bans

1,607Tracked matches63%Win rate2020Tracked since
2,116Hours in CS3Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating12,740Blue band · top ~40.4% of ranked players (population est.)
FaceitLevel 4 · 971 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,740 -830 9 Mar – 5 Oct · 7 days played
11,72514,669peak 14,6699 Mar5 Oct
14,669Peak Premier in tracked matches
971Highest Faceit ELO seen on CSDB
46Days played since 2026-02-02

Faceit ELO

  • At peak — 971
  • Next: Level 5 at 1,051 — 80 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 1,929 below peak (14,669)
  • Next: Purple band at 15,000 — 2,260 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate43.1%42.7%43.8%meets
Shot accuracy12.0%11.2%12.0%meets
Kill/death ratio0.940.991.020.08 short
Match win rate42.5%43.9%44.7%2.2% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBigPicaFACEITLevel 4 · 971 ELOSTANDINGTop 81.0% of rankedPREMIER12,740 · Blue bandPEAK ELO971csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67
Positioning61
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY54–38–8Last 10054%Win rateWTLWWWLWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.5pp headshot accuracy · +83ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 619ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 692ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 650ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim6.7
Utility5.2
Positioning6.1
Opening Duels2.6
Clutch6.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 644ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.7
Positioning6.1
Utility5.2
Mechanics6.9
Opening Duels3.9
Win Impact9.3

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time636ms−65ms
first ⅓ avg 702ms → last ⅓ avg 636ms
Headshot accuracy14.5%−1.4%
first ⅓ avg 15.9% → last ⅓ avg 14.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 9–4 · inferno, 7 Mar →
34%Best headshot accuracy · 13–4 · dust2, 8 Mar →
422msFastest reaction time · 3–13 · mirage, 7 Nov →
13–1Biggest win · ancient, 24 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 74% over 19anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB3518–1751%-0.01
dust2S1914–574%0.02
infernoB126–650%-0.01
nukeB115–645%-0.01
anubisD62–433%-0.02
ancientA53–260%0.00
cache—33–0100%-0.02
vertigo—31–233%-0.02
office—30–30%-0.08
overpass—22–0100%0.07
train—10–10%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,375Lifetime kills
0.94K/D
3,646Matches
42.5%Match win rate
43.1%Headshot % · Top 50% of Level 4 players
12.0%Shot accuracy · Top 50% of Level 4 players
7,685MVPs
1,184Hours (in match)
3,162Bombs planted
751Bombs defused

Most-used weapons

AK-4714,715
AWP6,246
FAMAS1,906
MP91,865
MAC-101,820

Lifetime map wins

5,312inferno
2,994dust2
1,890nuke
1,018train
641cbble
636vertigo
181office
153safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

272Matches
47%Win rate
0.92Avg K/D
70.2ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage850%0.9513.3
Dust2729%0.639.1
Inferno667%0.7012.0
Nuke250%0.8013.5
Ancient2100%0.8812.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.3%Headshot accuracy
35.2%Accuracy (enemy spotted)
35.6%Spray accuracy
81.0%Counter-strafing
7.6°Preaim
644msReaction time
47.5%T opening success
44.1%CT opening success
0.67Enemies flashed / flash
7.3%Flash assists
8.52HE damage / grenade
6.23Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.3259% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0418%7 Nov →
inferno12–12-0.028%7 Nov →
mirage3–13-0.0812%7 Nov →
dust213–11-0.0513%1 Nov →
dust213–90.1029%31 Oct →
overpass13–60.1020%25 Oct →
train10–13-0.0013%25 Oct →
ancient13–10.1016%24 Oct →
ancient9–13-0.047%24 Oct →
cache13–9-0.0318%24 Oct →
nuke13–50.0817%24 Oct →
ancient13–100.0221%18 Oct →
mirage13–60.0114%18 Oct →
nuke13–10-0.0228%5 Oct →
anubis13–10-0.0310%4 Oct →
vertigo13–3-0.033%4 Oct →
office9–13-0.014%4 Oct →
dust213–110.039%3 Oct →
inferno11–13-0.0016%3 Oct →
dust213–110.0615%3 Oct →
anubis15–15-0.0012%3 Oct →
dust212–12-0.0113%3 Oct →
anubis9–130.0216%27 Sept →
mirage2–13-0.0315%27 Sept →
vertigo9–13-0.0610%13 Sept →
nuke9–130.0218%13 Sept →
nuke4–13-0.0821%6 Sept →
inferno13–4-0.0011%5 Sept →
dust213–60.0413%5 Sept →
mirage13–7-0.0712%5 Sept →
anubis7–13-0.0417%5 Sept →
mirage13–6-0.0321%29 Aug →
mirage16–140.0411%29 Aug →
dust210–130.0215%22 Aug →
mirage9–13-0.0319%22 Aug →
mirage13–30.0019%16 Aug →
dust210–13-0.0012%26 Jul →
mirage7–13-0.0114%26 Jul →
mirage13–9-0.0316%26 Jul →
mirage15–150.0010%26 Jul →
dust213–30.004%26 Jul →
mirage11–130.0017%25 Jul →
mirage13–90.0117%25 Jul →
mirage13–70.0524%25 Jul →
mirage4–13-0.0420%11 Jul →
dust21–13-0.0118%11 Jul →
anubis13–30.0016%11 Jul →
mirage4–13-0.043%11 Jul →
nuke8–8-0.006%4 Jul →
mirage13–4-0.0312%4 Jul →
cache13–80.0115%28 Jun →
nuke6–13-0.0418%28 Jun →
dust213–10-0.0411%26 Jun →
nuke4–13-0.0413%20 Jun →
dust213–20.0017%19 Jun →
cache13–9-0.049%1 May →
office2–13-0.1120%26 Apr →
mirage13–4-0.0113%21 Apr →
vertigo12–120.0212%11 Apr →
nuke13–1-0.0429%11 Apr →
inferno8–13-0.0612%11 Apr →
inferno8–8-0.098%10 Apr →
mirage13–50.0218%5 Apr →
dust213–30.0717%5 Apr →
dust213–90.0310%3 Apr →
mirage13–50.0526%3 Apr →
mirage11–130.0812%28 Mar →
mirage13–60.0919%28 Mar →
dust23–130.0126%28 Mar →
office3–13-0.110%22 Mar →
mirage4–130.0213%22 Mar →
mirage13–16-0.0218%21 Mar →
mirage10–13-0.1019%15 Mar →
nuke9–5-0.0215%15 Mar →
mirage16–13-0.0214%9 Mar →
mirage12–12-0.0221%8 Mar →
dust213–50.1116%8 Mar →
dust213–40.0734%8 Mar →
nuke3–9-0.068%8 Mar →
inferno13–7-0.0513%7 Mar →
mirage5–13-0.0318%7 Mar →
inferno9–40.1413%7 Mar →
inferno6–90.039%7 Mar →
inferno9–70.0623%7 Mar →
inferno9–0-0.0125%28 Feb →
inferno1–9-0.1511%28 Feb →
mirage13–160.0515%22 Feb →
ancient11–13-0.0912%22 Feb →
mirage7–13-0.037%22 Feb →
dust213–80.0122%21 Feb →
mirage13–40.0617%21 Feb →
inferno13–9-0.0118%16 Feb →
overpass16–130.0415%16 Feb →
mirage1–13-0.1328%14 Feb →
anubis7–13-0.1014%14 Feb →
mirage13–8-0.0116%8 Feb →
ancient13–90.027%4 Feb →
nuke13–70.0718%4 Feb →
mirage13–2-0.018%2 Feb →
mirage11–00.0515%2 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.